Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/88443
Title: Avoiding to face the challenges of visual place recognition
Authors: Mihankhah, Ehsan
Wang, Danwei
Keywords: Engineering::Electrical and electronic engineering
Place Detection
Place Recognition
Issue Date: 2019
Source: Mihankhah, E., & Wang, D. (2018). Avoiding to face the challenges of visual place recognition. Intelligent Systems Conference 2018 (IntelliSys 2018). doi:10.1007/978-3-030-01054-6_52
Abstract: Through this paper, bottlenecks of conventional place recognition techniques are studied, and a replacement strategy is proposed for each item. Conventional place recognition algorithms are extensions of object recognition techniques applied to larger scale targets known as the place landmarks. The discussion presented in this paper aims to address the challenges of detection and recognition of the places, which make this topic distinctive from detection and recognition of the objects and landmarks. The challenges are listed under related categories. The table of challenges, reasons, and the recommendations to avoid these situations is presented as the guideline for selection of proper tools for place recognition purpose.
URI: https://hdl.handle.net/10356/88443
http://hdl.handle.net/10220/49440
DOI: 10.1007/978-3-030-01054-6_52
Rights: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1007/978-3-030-01054-6_52
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

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